Odor and Odorous Chemical Emissions from Animal Buildings: Part 5. Simultaneous Chemical and Sensory Analysis with Gas Chromatography-Mass Spectrometry-Olfactometry

dc.contributor.author Koziel, Jacek
dc.contributor.author Zhang, Shicheng
dc.contributor.author Koziel, Jacek
dc.contributor.author Cai, Lingshuang
dc.contributor.author Hoff, Steven
dc.contributor.author Hoff, Steven
dc.contributor.author Heathcote, Katie
dc.contributor.author Chen, Lijun
dc.contributor.author Jacobson, Larry
dc.contributor.author Akdeniz, Neslihan
dc.contributor.author Hetchler, Brian
dc.contributor.author Parker, David
dc.contributor.author Caraway, Edward
dc.contributor.author Heber, Albert
dc.contributor.author Bereznicki, Sarah
dc.contributor.department Agricultural and Biosystems Engineering
dc.date 2018-02-17T15:20:25.000
dc.date.accessioned 2020-06-29T22:42:13Z
dc.date.available 2020-06-29T22:42:13Z
dc.date.copyright Thu Jan 01 00:00:00 UTC 2015
dc.date.issued 2015-01-01
dc.description.abstract <p>Simultaneous chemical and sensory analyses using gas chromatography-mass spectrometry-olfactometry (GC-MS-O) for air samples collected at barn exhaust fans were used for quantification and ranking of the odor impacts of target odorous gases. Fifteen target odorous VOCs (odorants) were selected. Air samples were collected at dairy barns in Wisconsin and Indiana and at swine barns in Iowa and Indiana over a one-year period. The livestock facilities with these barns participated in the National Air Emissions Monitoring Study (NAEMS). Gas concentrations, odor character and intensity, hedonic tone, and odor peak area of the target odorants in air samples were measured simultaneously with GC-MS-O. The four individual odorants emitted from both dairy and swine sites with the largest odor impacts (measured as odor activity value, OAV) were 4-methyl phenol, butanoic acid, 3-methyl butanoic acid, and indole. The total odor (limited to target VOCs and referred to as the measured concentrations, odor intensities, and OAVs) emitted from the swine sites was generally greater than that from the dairy sites. The Weber-Fechner law was used to correlate measured odor intensities with chemical concentrations. Odorants with higher mean OAV followed the Weber-Fechner law much better than odorants with lower mean OAV. The correlations between odor intensities and chemical concentrations were much better for the swine sites (typically p < 0.05 and R<sup>2</sup> = 0.16 to 0.51) than for the dairy sites (typically p > 0.05 and R<sup>2</sup> < 0.15). Linking specific gases to odor could assist in the development and evaluation of odor mitigation technologies for solving livestock odor nuisance problems.</p>
dc.description.comments <p>This article is from Transactions of the ASABE 58(5): 1349-1359 (doi: <a href="http://dx.doi.org/10.13031/trans.58.11123" target="_blank">10.13031/trans.58.11123</a>). Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/abe_eng_pubs/732/
dc.identifier.articleid 2015
dc.identifier.contextkey 8391936
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/732
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/1529
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/732/2015_Zhang_OdorOdorous_Part5.pdf|||Sat Jan 15 01:46:24 UTC 2022
dc.source.uri 10.13031/trans.58.11123
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.keywords Air quality
dc.subject.keywords Animal feeding operations
dc.subject.keywords Gas chromatography
dc.subject.keywords Mass spectrometry
dc.subject.keywords Odor
dc.subject.keywords Olfactometry
dc.subject.keywords Weber-Fechner law
dc.title Odor and Odorous Chemical Emissions from Animal Buildings: Part 5. Simultaneous Chemical and Sensory Analysis with Gas Chromatography-Mass Spectrometry-Olfactometry
dc.type article
dc.type.genre article
dspace.entity.type Publication
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relation.isAuthorOfPublication 98b46d48-66a2-4458-9b42-8c4aa050664d
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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